Explain why the tool was discriminating against women

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Question: Data Bias (a) (6 points) Your friend working at UCLA dining hall has been given the task of determining how students feel about this year's menus. Your friend wants to complete the task by scraping Reddit for key words related to UCLA food and then run them through a model that can do sentiment analysis. The given model can determine if the text contains positive, negative, or neutral sentiments. Does your friend's data collection method exhibit any selection bias?Explain each kind of bias you give in the context of this situation. (Refer to Week 1 Lecture 2, slide 39 for a list). (b) (6 points) Long since 2018, companies have started to explore the potential of AI as the recruiter for their hiring process, but AI recruiters were faced with many problems at that time and the idea was eventually scrapped due to bias issues, especially against women.

(1) Explain why the tool was discriminating against women?

(2) The developer decides to drop the gender in their data. Would this eliminate the bias? Why?

Reference no: EM133359835

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